Improved chaotic associative memory using distributed patterns for image retrieval
Yuko Osana · 2004
We propose an improved chaotic associative memory using distributed patterns for image retrieval. This model is based on our previous work, chaotic associative memory using distributed patterns that is based on the chaotic associative memory which can separate superimposed patterns and the multi winners self-organizing neural network which has the ability to generate distributed representation patterns corresponding to input in a self-organizing manner.